Abstract:
In one aspect, a computer-implemented method for compressing content based on a social factor, an environmental factor, and a relational factor is described. The method may include monitoring access to the content, forming, by a processor, a contextual evaluation based on the monitored access and determining an importance of the content based on the contextual evaluation. The method may further include storing the content in a compressed form, where the compressed form is selected based on the importance.
Abstract:
A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.
Abstract:
This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for controlling a display screen brightness level for an electronic device. In one embodiment, the electronic device receives a plurality of ambient light levels from a plurality of light sensors. At least a first ambient light level is received from a wearable device separate from the first device. The electronic device determines an aggregate ambient light level based, at least in part, on the plurality of ambient light levels. The electronic device adjusts a display screen brightness level of a display in the first device based, at least in part, on the aggregate ambient light level.
Abstract:
This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for controlling a display screen brightness level for an electronic device. In one embodiment, the electronic device determines a first ambient light level and associates the first ambient light level with a first priority weight value. The electronic device further determines a second ambient light level and associates the second ambient light level with a second priority weight value. A display controller within the electronic device sets the display screen brightness level based, at least in part, on the first ambient light level, the second ambient light level, and at least one of the first and second priority weight values.
Abstract:
A method is provided for building patterns with high level pattern topology requirements for deployment across multiple systems. The patterns are built based on pattern capabilities and configurations of the multiple systems. Such patterns can meet the desired pattern capabilities including high availability and/or continuous capabilities.
Abstract:
A method, system and computer program product for selecting hypervisor platforms that are best suited to process application workloads. Attribute requirements for an application workload, such as high CPU capacity, high power and low cost, are received. A ranking algorithm is then applied to a list of pools of compute nodes to identify an ordered list of pools of compute nodes that are best suited for satisfying the attribute requirements of the application workload by comparing hypervisor characteristics of the pools of compute nodes with the attribute requirements of the application workload. Each pool of compute nodes runs on a particular hypervisor platform which has a unique combination of characteristics that correspond to a combination of a set of attribute requirements (e.g., medium CPU/memory/disk capacity; high CPU and memory performance). In this manner, the hypervisor platforms that are best suited for satisfying the application workload requirements are identified.
Abstract:
A method is provided for designing and optimizing a pattern by considering heterogeneous cloud environments. Building blocks within the pattern can be deployed into different cloud environments and different cloud providers, depending on where the pattern fits users need best. Further, building block configuration within the pattern can be optimized by target environments, along with runtime bursting among multiple environments.
Abstract:
A technique of backing up a workload in a virtual environment includes identifying one or more files that are associated with the workload. One or more source volumes that include the one or more files are identified. A respective target volume is provisioned for each of the one or more source volumes identified. Only dirty blocks are copied (in a snapshot mode that prevents an update to the one or more source volumes during the snapshot mode) from each of the one or more source volumes to its respective target volume. The one or more dirty blocks are then copied from each target volume to a backup medium.
Abstract:
Methods and systems may provide for reducing workloads of neighboring virtual machine tenants in a cloud environment with shared storage using pro-active log offloading. Additionally, logging activity may be redirected to reduce input/output resource consumption. Trends in future input/output activities may be determined and preemptive action may be implemented to reduce performance impact of the neighboring tenants.
Abstract:
A method, system and computer program product for selecting virtual machines to be migrated. The page consumption is monitored and recorded for each virtual machine running on a physical machine in a cloud computing node. Those virtual machines with a positive gradient of page consumption that is less than a threshold are placed in a list of virtual machines to be ranked. The virtual machines in the list are ranked based on an increasing order of the relative page consumption value at each sample interval within an observation window of time. A final rank for each virtual machine in the list is computed based on averaging its ranking across each sample interval within the observation window of time. One or more virtual machines are then selected to be migrated to another physical machine that have the lowest final ranking (i.e., with the lowest relative page consumption values).